Triple
T15754445
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Niigata Albirex BB |
E381930
|
entity |
| Predicate | hasCheerleadingTeam |
P25706
|
FINISHED |
| Object | yes |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: yes | Statement: [Niigata Albirex BB, hasCheerleadingTeam, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCheerleadingTeam Context triple: [Niigata Albirex BB, hasCheerleadingTeam, yes]
-
A.
hasCheerleaders
chosen
Indicates that an entity is associated with or supported by one or more cheerleaders.
-
B.
containsSportsTeam
Indicates that one entity (typically a location or organization) has a sports team as part of it or within its boundaries.
-
C.
officialCheerleadersFor
Indicates that one entity serves as the formally recognized cheerleading squad or group supporting another entity, such as a team or organization.
-
D.
hasSportsTeam
Indicates that an entity possesses, sponsors, or is represented by a sports team.
-
E.
collegeChampionshipTeam
Indicates that a team is the winner of a specified college-level championship competition.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d86d9e6b44819085d1f6a969ecb74c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e05031f6a08190bfb333eced0a59a1 |
completed | April 16, 2026, 2:57 a.m. |
| PD | Predicate disambiguation | batch_69e00531e7ac8190a4190cce4f7fab4c |
completed | April 15, 2026, 9:37 p.m. |
Created at: April 10, 2026, 4:47 a.m.